Machine Learning Engineer

🚀 Job Title: Machine Learning Engineer 📍 Location: South San Francisco, CA - Onsite ⏳ Duration: Long Term Contract Position About the Role We are seeking for a talented Machine Learning Engineers to advance structural and ML-based methods for molecular design. You’ll work on cutting-edge projects in drug discovery, focusing on molecular optimization, Bayesian acquisition, probabilistic property prediction, and generative modeling for small and large molecules. What You’ll Do • Collaborate with ML scientists, engineers, computational chemists & biologists. • Develop ML and Bayesian optimization workflows for drug design. • Build pipelines for molecular property prediction & active learning. • Partner with therapeutic development teams to translate insights into solutions. • Lead existing projects and drive new research initiatives. Qualifications • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics (or related field), OR MS + 3+ years industry experience. • Hands-on experience with ML libraries in production workflows (e.g., PyTorch + Lightning + Weights & Biases). • Strong publication record (1+ high-impact first-author paper or equivalent). • Experience with molecular dynamics, rdkit, or computational chemistry. • Excellent communication & collaboration skills.